Hi colleagues!

Every day Johns Hopkins University publishes new data on coronavirus COVID-19 pandemic status.

I built a simple InterSystems IRIS Analytics dashboard using InterSystems IRIS Community Edition in docker deployed on GCP Kubernetes which shows key measures of the disease outbreak.

This dashboard is an example of how information from CSV could be analyzed with IRIS Analytics and deployed to GCP Kubernetes in a form of InterSystems IRIS Community Edition.

Added the interactive map of the USA:

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· Oct 29, 2022
Healthshare on kubernetes


I'm thinking to deploy healthshare using kubernetes. Has any one done this before? How will the TCP listeners in healthshare work with kubernetes? Will they automatically create a service endpoint so that I can route traffic?

Please advise me on how to think about this.


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With the world (as well as our own technology) moving to the cloud at such a fast pace it is easy (at least for myself) to get caught up in the little details. One thing I, and some clients of ours, had run into a couple of times was the necessity to specify the version of the images one plans to use with the IKO.

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I am currently using IKO 3.6 to deploy an irisCluster on EKS, but I am facing some challenges. Firstly, I need assistance in understanding how to connect to the Web Gateway sidecar. If anyone has experience with this, I would greatly appreciate any guidance or advice you can offer. Secondly, I am trying to utilize the 'seed: path' options of irisDatabases, but I am unsure of the best approach. If anyone has successfully implemented this feature, I would love to hear about your approach and any insights you can provide. Thank you in advance for any help you can offer!

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Hi Developers,

The new video from Global summit 2019 is already on InterSystems Developers YouTube:

⏯ Intersystems IRIS Kubernetes Operator

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In the context of IKO (Iris Kubernetes Operator) the question of Service not redirecting dynamically to the correct Pod is still pending.
In production this can be dangerous since an overload (or any other simpler problem) can cause you to change the main Pod and leave the application inoperable until we intervene.

Intersystems support warned that this is still an issue of IKO, but there are some possibilities that I am studying.

To explore an idea I had, I would like the help of this Forum to answer the following question:

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Hi Everyone,

I've been working on deploying an IRIS for Health environment in EKS. There is a video session in the InterSystems learning portal about this feature but I have not succeeded in finding the proper documentation and resources to use this in my Kubernetes cluster.

Has this been deprecated/discontinued? Any idea where can I find the resources? Should I stick to StatefulSets instead of using the IrisCluster resource type provided by this operator?

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Several resources tell us how to run IRIS in a Kubernetes cluster, such as Deploying an InterSystems IRIS Solution on EKS using GitHub Actions and Deploying InterSystems IRIS solution on GKE Using GitHub Actions. These methods work but they require that you create Kubernetes manifests and Helm charts, which might be rather time-consuming.
To simplify IRIS deployment, InterSystems developed an amazing tool called InterSystems Kubernetes Operator (IKO). A number of official resources explain IKO usage in details, such as New Video: Intersystems IRIS Kubernetes Operator and InterSystems Kubernetes Operator.

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This article will cover turning over control of provisioning the InterSystems Kubernetes Operator, and starting your journey managing your own "Cloud" of InterSystems Solutions through Git Ops practices. This deployment pattern is also the fulfillment path for the PID^TOO||| FHIR Breathing Identity Resolution Engine.

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greetings Community!

InterSystems Learning Services is working to identify and create libraries of high-quality learning resources for third-party technologies, platforms, and systems that are part of, integrated with, or commonly used with InterSystems products and technologies. we don't create content for these ourselves, but want to support our clients, external and internal, in learning about them and how to use them.

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I want to deploy IRIS apps running in containers in Kubernetes with user accounts configured.

I have a %ZSTART routine which looks for an XML file with Users export data and if the %ZSTART routine finds this file, it imports it. This Users export data can be obtained by running a class method.

I have defined a task which can be scheduled or run on demand. This tasks imports user data from an XM file.

In Kubernetes I can provide a ConfigMap to stage the Users data for the %ZSTART routine.

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Hey Developers,

Enjoy watching the new video on InterSystems Developers YouTube channel:

Smart Data Services (Vision & Demo)

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Hi Community!

We're pleased to invite you to the DockerCon 2019 – the #1 container industry conference for all things Kubernetes, microservices, and DevOps. The event will be held at the Moscone Center in San Francisco from April 29 to May 2.

In addition, there will be a special session "Containerized Databases for Enterprise Applications" presented by @Thomas Carroll, Product Specialist at InterSystems.

See the details below.

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Are we correct to assume that the IKO topology only allows for the use of one 'data' node type, and one 'compute' node type? So if we want to use several different iris based compute nodes (or data nodes) we have to apply several yaml files? So the following topology config is not possible:

image: dvza.healthexchange.nl/mmres:0.1
image: dvza.healthexchange.nl/mmauth:0.1
image: dvza.healthexchange.nl/somethingelsethatisbasedonirisimage:0.1

Thanks in advance.

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K9s is a terminal-based UI (aka kubectl clown suit), to manage Kubernetes clusters that drastically simplifies navigating, observing, and managing your applications in K8s, including Custom Resources like the InterSystems Kubernetes Operator (IKO) and ArgoCD Applications. If you are about to take your CKD, CKA, or CKS, leave k9s well enough alone for awhile as the abstraction to kubectl will become the standard for navigating the cluster and you will undoubtedly become estranged to the extended flags of kubectl and bomb the exam.

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Hi Everyone,

Are you ready yet? Have you packed all you'll need for the summit? And don't forget the needed power-socket adapters if you come from outside the US!

Have you signed up for the Container Bootcamp on Sunday? Or one of the various Experience Labs, the many informative sessions and one of the symposia on Wednesday afternoon?

Again, there is a mobile app for attendees that should help you keep it all under control and even allow you to book time with InterSystems personnel for a one-on-one deep-dive on whatever you need.

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We have solution which uses IRIS with IAM and webgateway integrated.

After integration, we notice that in the kong configuration in the kongdb upstreams are not created as listed in the kong.yml

We noticed that, IAM api calls are failing with enterprise license expired.

[kong@iam-deployment-75f485954c-ssdfv /]$ curl --location --request POST 'http://localhost:8001/services/'
{"message":"Enterprise license missing or expired"}

From Logs:

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Last time we deployed a simple IRIS application to the Google Cloud. Now we’re going to deploy the same project to Amazon Web Services using its Elastic Kubernetes Service (EKS).

We assume you’ve already forked the IRIS project to your own private repository. It’s called <username>/my-objectscript-rest-docker-template in this article. <root_repo_dir> is its root directory.

Before getting started, install the AWS command-line interface and, for Kubernetes cluster creation, eksctl, a simple CLI utility. For AWS you can try to use aws2, but you’ll need to set aws2 usage in kube config file as described here.

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Last time we launched an IRIS application in the Google Cloud using its GKE service.

And, although creating a cluster manually (or through gcloud) is easy, the modern Infrastructure-as-Code (IaC) approach advises that the description of the Kubernetes cluster should be stored in the repository as code as well. How to write this code is determined by the tool that’s used for IaC.

In the case of Google Cloud, there are several options, among them Deployment Manager and Terraform. Opinions are divided as to which is better: if you want to learn more, read this Reddit thread Opinions on Terraform vs. Deployment Manager? and the Medium article Comparing GCP Deployment Manager and Terraform.

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In an earlier article (hope, you’ve read it), we took a look at the CircleCI deployment system, which integrates perfectly with GitHub. Why then would we want to look any further? Well, GitHub has its own CI/CD platform called GitHub Actions, which is worth exploring. With GitHub Actions, you don’t need to rely on some external, albeit cool, service.

In this article we’re going to try using GitHub Actions to deploy the server part of InterSystems Package Manager, ZPM-registry, on Google Kubernetes Engine (GKE).

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IRIS configurations and user accounts contain various data elements that need to be tracked, and many people struggle to copy or sync those system configurations and user accounts between IRIS instances. So how can this process be simplified?

In software engineering, CI/CD or CICD is the set of combined practices of continuous integration (CI) and (more often) continuous delivery or (less often) continuous deployment (CD). Can CI/CD eliminate all our struggles?

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Imagine you want to see what InterSystems can give you in terms of data analytics. You studied the theory and now you want some practice. Fortunately, InterSystems provides a project that contains some good examples: Samples BI. Start with the README file, skipping anything associated with Docker, and go straight to the step-by-step installation. Launch a virtual instance, install IRIS there, follow the instructions for installing Samples BI, and then impress the boss with beautiful charts and tables. So far so good.

Inevitably, though, you’ll need to make changes.

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@Jeff Fried

Hi Jeff,

I reviewed the Ensemble 2018 support documentation

And I did not find a restriction on the use of Ensemble 2018 installed on Docker with Openshift, but I received information that Intersystems would not support this installation case. That is true?

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This article is a continuation of Deploying InterSystems IRIS solution on GKE Using GitHub Actions, in which, with the help of GitHub Actions pipeline, our zpm-registry was deployed in a Google Kubernetes cluster created by Terraform. In order not to repeat, we’ll take as a starting point that:

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